Update README.md

README.md

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 This model is part of the **AutoBool** framework, a reinforcement learning approach for training large language models to generate high-quality Boolean queries for systematic literature reviews.
 
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 ## Model Description
 
 This variant uses the **conceptual method** for structured query construction. The model follows a systematic 5-step process to identify concepts and build Boolean queries based on domain logic.
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 - **Domain:** Biomedical literature search (PubMed)
 - **Task:** Boolean query generation for high-recall retrieval
 
+## 🚀 Interactive Demo
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+Try out our query generation models directly in your browser! The demo allows you to test our different reasoning strategies (Standard, Conceptual, Objective, and No-Reasoning) in real-time.
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+[![Hugging Face Spaces](https://img.shields.io/badge/%F0%9F%A4%97%20Hugging%20Face-Spaces-blue)](https://huggingface.co/spaces/wshuai190/AutoBool-Demo) 
+* **Live Demo:** [AutoBool on Hugging Face Spaces](https://huggingface.co/spaces/wshuai190/AutoBool-Demo)
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+
 ## Training Details
 
 The model was trained using: